code: def testLoopWithConstantOutput(self):
      # Define a function for the loop body
      @function.Defun(dtypes.int32, dtypes.int32)
      def loop_body(step, x):
          del x
          step_out = step + constant_op.constant(1, dtype=dtypes.int32)
          return (step_out, 7)
  
      # Define a function for the loop condition
      @function.Defun(dtypes.int32, dtypes.int32)
      def loop_cond(step, x):
          del x
          return step < 10
  
      with self.session() as sess:
          init_index = array_ops.placeholder(dtypes.int32, [])
          with self.test_scope():
              loop_outputs = xla.while_loop(
                  [init_index, 42], loop_cond, loop_body
              )
  
          result = sess.run(loop_outputs, {init_index: 0})
          self.assertAllClose(result, [10, 7], rtol=1e-3)
  
imports: import os
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.python import xla
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the WhileTest obj's underlying member method code with example usage: obj.testLoopWithConstantOutput() and returns: step_out,  int, unknown